Current progress on fluoride occurrence in the soil environment: Sources, transformation, regulations and remediation

M Wang, H Wang, G Lei, B Yang, T Hu, Y Ye, W Li… - Chemosphere, 2023 - Elsevier
Fluorine is a halogen element widely distributed in nature, but due to excessive emissions
from industrial manufacturing and agricultural production, etc., the soil is over-enriched with …

[HTML][HTML] An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers

T Karasu, F Çalışır, S Pişkin, E Özgür, C Armutcu… - … of Pharmaceutical and …, 2024 - Elsevier
Artificial intelligence (AI) is developing and expanding rapidly beyond the expectations of
engineers who develop it as well. It is evaluated that it has/will have great potential not only …

[HTML][HTML] Comparative study of machine learning models for evaluating groundwater vulnerability to nitrate contamination

HE Elzain, SY Chung, V Senapathi, S Sekar… - Ecotoxicology and …, 2022 - Elsevier
The accurate evaluation of groundwater contamination vulnerability is essential for the
management and prevention of groundwater contamination in the watershed. In this study …

Characterization and exploration of dynamic variation of volatile compounds in vine tea during processing by GC-IMS and HS-SPME/GC–MS combined with machine …

Q Li, C Zhang, W Liu, B Li, S Chen, H Wang, Y Li, J Li - Food Chemistry, 2024 - Elsevier
It is imperative to unravel the dynamic variation of volatile components of vine tea during
processing to provide guidance for tea quality evaluation. In this study, the dynamic changes …

Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag …

X Zhao, X Chen, Q Huang, Z Lan, X Wang… - Journal of Petroleum …, 2022 - Elsevier
Permeability is a crucial analytical variable in petrophysical parameters of reservoir rocks,
which is highly related to geo-energy exploration and evaluation. Conventional physics …

Conjunct application of machine learning and game theory in groundwater quality mapping

AN Khiavi, M Tavoosi, A Kuriqi - Environmental Earth Sciences, 2023 - Springer
Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to
recent droughts and urban and rural development. Therefore, this study aimed to map GWQ …

Prediction of phosphorus concentrations in shallow groundwater in intensive agricultural regions based on machine learning

H Yang, P Wang, A Chen, Y Ye, Q Chen, R Cui… - Chemosphere, 2023 - Elsevier
Excessive accumulation of phosphorus in soil profiles has become the main source of
phosphorus in groundwater due to the application of phosphorus fertilizers in intensive …

Machine Learning Modeling Based on Microbial Community for Prediction of Natural Attenuation in Groundwater

X Zhang, T Long, S Deng, Q Chen… - Environmental …, 2023 - ACS Publications
Natural attenuation is widely adopted as a remediation strategy, and the attenuation
potential is crucial to evaluate whether remediation goals can be achieved within the …

Prediction of metformin adsorption on subsurface sediments based on quantitative experiment and artificial neural network modeling

C Yang, K Liu, S Yang, W Zhu, L Tong, J Shi… - Science of The Total …, 2023 - Elsevier
Metformin (MET), a widely employed hypoglycemic pharmaceutical agent, has been
frequently detected within groundwater, which has posed a threat to ecosystems and human …

Assessing urban morphology's impact on solar potential of high-rise facades in Hong Kong using machine learning: An application for FIPV optimization

L Tao, M Wang, C Xiang - Sustainable Cities and Society, 2024 - Elsevier
The relationship between solar potential on building façade and urban morphology at urban
scale remains unclear, and the design of façade integrated photovoltaic (FIPV) lacks …